Multiple myeloma gene expression data was analyzed and Self Organization Prediction Model (SOPM) based on Self-Organization Mapping (SOM) networks was established for predicting multiple myeloma.
本研究基于自组织映射网络(SOM)，分析多骨髓瘤基因表达数据，建立预测多骨髓瘤的自组织预测模型(SOPM)。
The gene linear profile model, composed of model profiles and coefficients, is obtained by ica from gene expression data, so gene classification based on ica is presented.
利用ICA对基因微阵列表达谱数据进行分解获得由基因模型谱和对应系数构成的线性谱模型，并在此基础上进行基因分类。
One model is fuzzy cluster analysis of gene expression data based on a cluster validity measure named Xie-Beni index.
一种模型是基于有效性测度谢白尼指数的基因表达数据的模糊聚类分析。
应用推荐